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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 4957
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    INDEX
    Explanations

    expressions of gratitude and positive affirmations

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and personal achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    suggest
    -0.75
    pmwiki
    -0.68
     omin
    -0.67
     obsc
    -0.66
     Advertisement
    -0.66
     incomp
    -0.64
     cens
    -0.63
     aloud
    -0.62
    addafi
    -0.62
     obscured
    -0.62
    POSITIVE LOGITS
     myself
    1.15
     hopefully
    0.94
     teammates
    0.91
    Hopefully
    0.85
     my
    0.84
     repay
    0.82
    initely
    0.81
     rehab
    0.81
     sacrific
    0.80
     honoured
    0.79
    Activations Density 0.516%

    No Known Activations